| title: Emotion Classifier | |
| emoji: 🎭 | |
| colorFrom: blue | |
| colorTo: purple | |
| sdk: gradio | |
| sdk_version: 5.49.0 | |
| app_file: app.py | |
| pinned: false | |
| license: mit | |
| short_description: Emotion classifier by DistilBERT. | |
| # Emotion Classification App | |
| This is a Gradio web app for classifying emotions in text using the `S-4-G-4-R/distilbert-base-uncased-finetuned-emotion` model. | |
| ## Features | |
| - 📝 Analyze text for emotional content | |
| - 📊 Interactive visualization of emotion probabilities | |
| - 💡 Example texts to try | |
| - 🎨 User-friendly interface | |
| ## Model | |
| The app uses a fine-tuned DistilBERT model specifically trained for emotion classification. | |
| ## Usage | |
| Simply enter any text and click "Classify Emotion" to see the emotional analysis with probability scores for different emotions. | |
| ## Examples | |
| Try these sample texts: | |
| - "I was feeling very alone today walking down on road" | |
| - "I am so happy and excited about this new opportunity!" | |
| - "This makes me really angry and frustrated." | |
| --- | |
| Built with Gradio and Transformers 🤗 |